Results 91 to 100 of about 14,860 (260)

Memristor‐Driven Active‐Matrix Organic Light‐Emitting Diode for Energy Efficient and High‐Resolution Displays

Advanced Functional Materials, EarlyView.
This study demonstrates that memristors can replace conventional 2T–1C driving circuits with simplified 1T–1 m architectures by exploiting resistance switching. With ultra‐low switching voltages (< ±0.2 V) and multi‐level resistance states, the memristors precisely control the current injected into organic light‐emitting diodes (OLEDs).
Dong Hyun Kim, Nahyun Kim, Seok Hee Hong, Ho Jin Lee, Jin Suk Oh, Jae Seong Park, Tae Geun Kim   +6 more
wiley   +1 more source

Investigation of Coupling Effect for Adjacent Orthopedic Implants on MRI Radio-Frequency Heating

Zhongguo yiliao qixie zazhi
This paper investigates the mechanism of radio-frequency (RF) heating that occurs when two adjacent orthopedic implants are present together under magnetic resonance imaging (MRI) at 1.5 Tesla and 3.0 Tesla.
Ran GUO, Zhichao WANG, Jing WANG, Chengling LI, Yonghua LI, Sheng HU   +5 more
doaj   +1 more source

Modeling of Radio Frequency Heating in JET

, 2020
Denna studie undersöker effektiviteten av joncyklotronresonansuppvärmning av JETs (Joint European Torus) plasma, med deuterium och tritium som bränsle, samt små koncentrationer av ett tredje ämne. Mer specifikt undersöks två scenarier med minoritetsjoner, helium och väte, och ett 3-jonscenario med beryllium.
Tegkelidis, Christos, Lindström, Erik
openaire   +1 more source

Texoskeletons: Developing the Fundamental Technologies for Creating Intelligent Soft Robotic Clothing With Integrated 1D Sensors and Actuators

Advanced Functional Materials, EarlyView.
ABSTRACT Traditional wearable exoskeletons rely on rigid structures, which limit comfort, flexibility, and everyday usability. This work introduces the fundamental technologies to create the first soft, lightweight, intelligent textile‐based exoskeletons (Texoskeletons) built using 1D sensors and actuators.
Amy Lukomiak, Rameesh Bulathsinghala, Jack Varga, Shuxin Meng, Kalana Marasinghe, Imaad Refai, Biyon Fernando, Amitkumar Patel, Chamika M. Halloluwa‐Arachchige, Carlos Oliveira, Arash M. Shahidi, Zahra Rahemtulla, Alexander Turner, Ziyun Ding, Bernard X. W. Liew, Andy Kerr, Ezio Preatoni, Theo Hughes‐Riley, Ishara Dharmasena, Pasindu Lugoda   +19 more
wiley   +1 more source

Self-Heating Effects in RF Region of FDSOI MOSFETs at Cryogenic Temperatures

IEEE Journal of the Electron Devices Society
Radio-frequency (RF) circuits are crucial to qubit manipulation, for which transistor self-heating effects may influence performance and possibly change the quantum state.
Hung-Chi Han, Edoardo Charbon, Christian Enz   +2 more
doaj   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

Titanium Suboxides Responsible for Electronic Anomaly Near Room Temperature in the Ti3C2Tx MXene

Advanced Functional Materials, EarlyView.
Our multi‐technique study reveals that the near‐room‐temperature anomaly in Ti3C2Tx MXene is linked to titanium suboxide nanodomains, including Ti3O5, embedded within the MXene host. Their temperature‐driven transformation provides an alternative explanation to solvent‐ and swelling‐based models and offers new insight into the thermally activated ...
Bence G. Márkus, Bradlee J. McIntosh, Lili Vajtai, Anna Nyáry, Sándor H. Sipos, Nirmal J. Ghimire, Ferenc Simon, László Forró, Dávid Beke   +8 more
wiley   +1 more source

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

Advanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone, Meng Tang, Camelia Florica, Bin He, Jingkai Xu, Selma Amara, Georgian Melinte, Xixiang Zhang, Gianluca Setti   +8 more
wiley   +1 more source

Ultrasensitive Anti‐Stokes Luminescence Thermometry in Transition Metal Dichalcogenide Monolayers

Advanced Functional Materials, EarlyView.
We demonstrate a highly sensitive nanothermometer using anti‐Stokes photoluminescence, also known as photoluminescence upconversion (UPL), in monolayer tungsten disulfide. A strong resonantly enhanced UPL is observed, confirming the central role of optical phonons in the PL upconversion mechanism.
Sharada Nagarkar, Fahrettin Sarcan, Elanur Hut, Emiliano R. Martins, Stuart A. Cavill, Thomas F. Krauss, Yue Wang   +6 more
wiley   +1 more source

Resolving the Cu(bdc) Conundrum: Identifying Non‐Porous Packing of Prototypical Coordination‐Network Thin Films Combining Advanced Diffraction Techniques and Computational Modelling

Advanced Functional Materials, EarlyView.
Solution‐processed Cu(bdc) forms prototypical MOF thin films for which a multitude of not fully satisfactory structural models have been suggested. Combining rotating grazing‐incidence diffraction and X‐ray reflectivity on two complementary samples with density‐functional theory, we first discard the previously suggested models and then identify a non ...
Narges Taghizade, Mario Fratschko, Robbin Steentjes, Mercedes Linares‐Moreau, Paolo Falcaro, Christof Wöll, Roland Resel, Egbert Zojer   +7 more
wiley   +1 more source